DBMS > OpenSearch vs. Realm vs. Transwarp Hippo

System Properties Comparison OpenSearch vs. Realm vs. Transwarp Hippo

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache Lucene

A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data

Cloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets

Primary database model

Search engine

Document store

Vector DBMS

Secondary database models

Vector DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	16.79
Rank	#33	Overall
	#4	Search engines

Score	6.99
Rank	#49	Overall
	#8	Document stores

Score	0.00
Rank	#379	Overall
	#18	Vector DBMS

Website

github.com/opensearch-project
opensearch.org

realm.io

www.transwarp.cn/en/subproduct/hippo

Technical documentation

opensearch.org/docs/latest

realm.io/docs

Developer

Amazon Web Services

Realm, acquired by MongoDB in May 2019

Initial release

2021

2014

2023

Current release

2.5.0, January 2023

1.0, May 2023

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.

Implementation language

Java

C++

Server operating systems

All OS with a Java VM

Android
Backend: server-less
iOS
Windows

Linux
macOS

Data scheme

schema-free

Flexible type definitions. Once a type is defined, it is persistent

yes

Typing

predefined data types such as float or date

yes

Vector, Numeric and String

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

yes

All search fields are automatically indexed

yes

SQL

Support of SQL

SQL-like query language

APIs and other access methods

Java API
RESTful HTTP/JSON API

RESTful HTTP API

Supported programming languages

Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Elasticsearch client

.Net
Java

with Android only
Objective-C
React Native
Swift

C++
Java
Python

Server-side scripts

Stored procedures

yes

runs within the applications so server-side scripts are unnecessary

Triggers

yes

by using the 'percolation' feature

yes

Change Listeners

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency

Synchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

In-Memory realm

yes

User concepts

Access control

yes

Role based access control and fine grained access rights

More information provided by the system vendor

Specific characteristics

OpenSearch is a highly scalable and extensible open-source software suite for search,...
» more

Competitive advantages

Distributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more

Typical application scenarios

The OpenSearch platform is used across a broad range of search , analytics, and observability...
» more

Licensing and pricing models

The OpenSearch Project offers open source software licensed under Apache License...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

show all

Recent citations in the news

Batch data ingestion into Amazon OpenSearch Service using AWS Glue
13 January 2025, AWS Blog

Introducing Amazon OpenSearch Service and Amazon Security Lake integration to simplify security analytics
1 December 2024, AWS Blog

Juicebox recruits Amazon OpenSearch Service’s vector database for improved talent search
14 January 2025, AWS Blog

New Amazon CloudWatch and Amazon OpenSearch Service launch an integrated analytics experience
1 December 2024, AWS Blog

Amazon OpenSearch Service launches the next-generation OpenSearch UI | Amazon Web Services
7 November 2024, AWS Blog

provided by Google News

Cloud Firestore vs Realm Platform
21 December 2022, Netguru

Is Swift the Future of Server-side Development?
12 September 2017, Solutions Review

Java Synthetic Methods — What are these ?
27 February 2021, DataDrivenInvestor

The Seven Deadly Sins: Four Knights of the Apocalypse Season 2 Episode 8: Release Date, Recap, and Where to Watch
27 November 2024, OtakuKart

provided by Google News

10 top vector database options for similarity searches
8 August 2024, TechTarget

provided by Google News

Share this page